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Efficient interactions and better
 fidelization for increased ROI
Deegr is a discovery and recommendation algorithm,
    that works by pairing similar taste profiles
Thanks to clever and customizable criterias, deegr can bring forward :
   _products corresponding to the users' affinities
   _trustworthy users' profiles from which to get advice

                              ...because our friends don't always have our tastes!
Deegr leads to better interactions and more sales...



Sales finalization
Turn a client's purchase hesitation
into a sale thanks to the advisory
of appropriate fellow customers


                          Boost your ARPU
                 Drive your customers towards
                   consumption by highlighting
               better suited items and contents
...and helps you keep them

Increased customer fidelity
Users will have a way to get to know
their fellow customers and share
opinions on affinity based products


  Galvanization of the community
    Interactions between users lead to
        discoveries, recommendations
                      and consumption

Clients and users acquisition
Gaming mechanics and Ambassador
programs push users into inviting
friends for better advices and
more virtual rewards
efficient and customizable



Mastered technology and powerful
algorithm that enable deegr
to make pertinent and
instantaneous searches


             Easy to configure, it can adapt to
             any type of content and to either
                       active or passive data
       (ex: History/Customer basket analysis)
Characteristics of the current solutions




Deegr works with any kind of products, and its modularity allows
  it to include its own Collaborative Filtering solution as an extra
Some figures


80% - of visitors that haven't finalized a purchase would have
done so if they had been assisted in live (Timeliving 2011)

90% - of online visitors would welcome a human interaction
while shopping online (Jupiter Communication)

7x - Online customer engagement raises the sales conversion
rate from 2% to 15%
(Internet Retailer)

81% - of consumers consider to be "very important" the
possibility to have access to other customer reviews
(Iperceptions)
A solid backup and a reliable team


Cap Oméga                Guillaume de Malzac
The incubator,           Paris Dauphine, 3 years of Finance
acknowledged as          Business Dev, Algorithm
one of the best in       guillaume@deegr.com
Europe and
based in
                         Florent Teissier
Montpellier, has         Polytech Montpellier
selected deegr           Development, Back-End, Databases
for the quality of       florent@deegr.com
its service and
its team
                         Nicolas Kermarc
                         Polytech Montpellier
                         Development, Front-End, Design
                         nicolas@deegr.com

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Presentation deegr

  • 1. Efficient interactions and better fidelization for increased ROI
  • 2. Deegr is a discovery and recommendation algorithm, that works by pairing similar taste profiles Thanks to clever and customizable criterias, deegr can bring forward : _products corresponding to the users' affinities _trustworthy users' profiles from which to get advice ...because our friends don't always have our tastes!
  • 3. Deegr leads to better interactions and more sales... Sales finalization Turn a client's purchase hesitation into a sale thanks to the advisory of appropriate fellow customers Boost your ARPU Drive your customers towards consumption by highlighting better suited items and contents
  • 4. ...and helps you keep them Increased customer fidelity Users will have a way to get to know their fellow customers and share opinions on affinity based products Galvanization of the community Interactions between users lead to discoveries, recommendations and consumption Clients and users acquisition Gaming mechanics and Ambassador programs push users into inviting friends for better advices and more virtual rewards
  • 5. efficient and customizable Mastered technology and powerful algorithm that enable deegr to make pertinent and instantaneous searches Easy to configure, it can adapt to any type of content and to either active or passive data (ex: History/Customer basket analysis)
  • 6. Characteristics of the current solutions Deegr works with any kind of products, and its modularity allows it to include its own Collaborative Filtering solution as an extra
  • 7. Some figures 80% - of visitors that haven't finalized a purchase would have done so if they had been assisted in live (Timeliving 2011) 90% - of online visitors would welcome a human interaction while shopping online (Jupiter Communication) 7x - Online customer engagement raises the sales conversion rate from 2% to 15% (Internet Retailer) 81% - of consumers consider to be "very important" the possibility to have access to other customer reviews (Iperceptions)
  • 8. A solid backup and a reliable team Cap Oméga Guillaume de Malzac The incubator, Paris Dauphine, 3 years of Finance acknowledged as Business Dev, Algorithm one of the best in guillaume@deegr.com Europe and based in Florent Teissier Montpellier, has Polytech Montpellier selected deegr Development, Back-End, Databases for the quality of florent@deegr.com its service and its team Nicolas Kermarc Polytech Montpellier Development, Front-End, Design nicolas@deegr.com